Abstract. A general model for estimating the number of amino acid substitutions per site (d) from the fraction of identical residues between two sequences (q) is pro-posed. The well-known Poisson-correction formula q = e-a corresponds to a site-independent and amino-acid-independent substitution rate. Equation q = (1- e-2d)/2d, derived for the case of substitution rates that are site-independent, but vary among amino acids, approximates closely the empirical method, suggested by Dayhoff et al. (1978). Equation q = 1/(1 + d) describes the case of substitution rates that are amino acid-independent but vary among sites. Lastly, equation q = [ln(1 + 2d)]/2d accounts for the general case where substitution rates can differ for both amino acids a...
Abstract Background Widely used substitution models for proteins, such as the Jones-Taylor-Thornton ...
International audienceThe number of substitutions (of nucleotides, amino acids, ...) that take place...
Substitutions between chemically distant amino acids are known to occur less frequently than those b...
Evolution of proteins is generally modeled as a Markov process acting on each site of the sequence. ...
Evolution of proteins is generally modeled as a Markov process acting on each site of the sequence. ...
Mitochondrial DNA data have been used extensively to study evolution and early human origins. These ...
Motivation: The observed correlations between pairs of homologous protein sequences are typically ex...
Motivation: Maximum likelihood-based methods to estimate site by site substitution rate variability ...
A maximum likelihood framework for estimating site-specific substitution rates is presented that doe...
Motivation: The observed correlations between pairs of homologous protein sequences are typically ex...
Statistical methods for comparing relative rates of synonymous and non-synonymous substitutions main...
Abstract. To understand the process and mechanism of protein evolution, it is important to know what...
We propose models for describing replacement rate variation in genes and proteins, in which the prof...
The original publication is available at www.ploscompbiol.orgCodon models of evolution have facilita...
Markov models of codon substitution are powerful inferential tools for studying biological processes...
Abstract Background Widely used substitution models for proteins, such as the Jones-Taylor-Thornton ...
International audienceThe number of substitutions (of nucleotides, amino acids, ...) that take place...
Substitutions between chemically distant amino acids are known to occur less frequently than those b...
Evolution of proteins is generally modeled as a Markov process acting on each site of the sequence. ...
Evolution of proteins is generally modeled as a Markov process acting on each site of the sequence. ...
Mitochondrial DNA data have been used extensively to study evolution and early human origins. These ...
Motivation: The observed correlations between pairs of homologous protein sequences are typically ex...
Motivation: Maximum likelihood-based methods to estimate site by site substitution rate variability ...
A maximum likelihood framework for estimating site-specific substitution rates is presented that doe...
Motivation: The observed correlations between pairs of homologous protein sequences are typically ex...
Statistical methods for comparing relative rates of synonymous and non-synonymous substitutions main...
Abstract. To understand the process and mechanism of protein evolution, it is important to know what...
We propose models for describing replacement rate variation in genes and proteins, in which the prof...
The original publication is available at www.ploscompbiol.orgCodon models of evolution have facilita...
Markov models of codon substitution are powerful inferential tools for studying biological processes...
Abstract Background Widely used substitution models for proteins, such as the Jones-Taylor-Thornton ...
International audienceThe number of substitutions (of nucleotides, amino acids, ...) that take place...
Substitutions between chemically distant amino acids are known to occur less frequently than those b...